The impact of wavelet selection on transient motor current signature analysis

This paper focuses on comparing the results using different wavelets for the detection of broken rotor bars in induction machines, operating under transient conditions. In Fourier analysis the basis functions are complex exponentials producing the same results for a particular waveform being analyzed. However in wavelet analysis the basis functions could be any permissible wavelets and the results produced are unique to the selected wavelet. Some wavelets are more efficient at encoding, denoising, compressing, decomposing and reconstructing signals than others. It is therefore desirable to select a wavelet that produces the best results for the signal being analyzed. The results show that using higher order wavelets improve the ability to detect broken rotor bars in induction machines operating under transient conditions